控制理论与应用2016，Vol.33Issue(7)：903-914,12.DOI:10.7641/CTA.2016.50643
适用于稀疏动态无线传感器网络的并行融合分布式无迹信息滤波算法
Parallel fusion distributed unscented information filter algorithm for sparse dynamic wireless sensor network
摘要
Abstract
Sparsity and stochastic dynamic change are two kinds of instability factors of communication topology, which universal joint exist in real wireless sensor network (WSN). The practicability of distributed unscented information filter (DUIF) will be improved vastly if making it applicable to the sparse dynamic WSN. For this purpose, a parallel fusion DUIF (PF–DUIF) is proposed. In the PF–DUIF algorithm, the local unscented information filter (LUIF) and weighted average consensus filter (WACF) can be implemented parallelly by applying the real local posterior estimated mean and co-variance to generat the sigma points. And then the consensus tracking errors caused by stochastic dynamic communication topolagy can be avoided effectively. Meanwhile, by implementing average consensus filter on the unbias local information matrices and vectors output by the LUIF respectively in the WACF, the distributed posterior estimated results without av-erage consensus error can be got. Furthermore, employing the real-time update mechanism to avoid the problem of filter asynchronization in PF–DUIF algorithm caused by stochastic dynamic communication topolagy. And meanwhile, on the basis of the average network model of the sparse dynamic WSN, the convergence rate of the WACF is modified under the condition of limited communication energy consumption, so as to improve the global efficiency of PF–DUIF algorithm. The simulation results show that PF–DUIF algorithm can efficiently track the target in sparse dynamic WSN.关键词
稀疏动态无线传感器网络/分布式无迹信息滤波/局部无迹信息滤波器/加权平均一致性滤波器/并行融合/均方收敛速率Key words
sparse dynamic wireless sensor network/distributed unscented information filter/local unscented informa-tion filter/weighted average consensus filter/parallel fusion/mean-square convergence rate分类
信息技术与安全科学引用本文复制引用
汤文俊,张国良,曾静,徐君,姚二亮..适用于稀疏动态无线传感器网络的并行融合分布式无迹信息滤波算法[J].控制理论与应用,2016,33(7):903-914,12.基金项目
中国工程科技中长期发展战略研究项目(2014-zcq-10)资助 （2014-zcq-10）
